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Multistage Fuzzy Control

A Model-Based Approach to Fuzzy Control and Decision Making

Janusz Kacprzyk



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John Wiley & Sons Inc
23 December 1996
Multistage Fuzzy Control a model-based approach to fuzzy control and decision making Fuzzy techniques are used to cope with imprecision in the control process. This authoritative book explains the essential principles of fuzzy logic and describes both the theoretical and practical advantages of the new model-based, prescriptive approach. Professor Kacprzyk offers a comprehensive and in depth examination of the issues underlying multistage control and decision analysis, addressing in particular fuzzy dynamic systems, fuzzy events, fuzzy probabilities and fuzzy quantifiers. The text also comprises an introduction to the basic concepts of fuzzy sets, fuzzy logic and fuzzy systems, complemented by real-world examples of the use of the model-based prescriptive approach to improve the efficiency of fuzzy control systems. Highly experienced in fuzzy control research, the author identifies new trends in the development of fuzzy sets and their direct application to decision-making processes. Fuzzy control engineers, researchers and postgraduate students will find this an ideal reference, offering a wealth of ideas for enhancing the performance of fuzzy control systems and equipping them with the tools to resolve genuine problems. Multistage Fuzzy Control is an essential handbook for those wishing to resolve real-world problems in control and decision analysis through the use of fuzzy-logic-based methods.
By:   Janusz Kacprzyk
Imprint:   John Wiley & Sons Inc
Country of Publication:   United States
Dimensions:   Height: 245mm,  Width: 193mm,  Spine: 25mm
Weight:   818g
ISBN:   9780471963479
ISBN 10:   047196347X
Series:   Handbook of Theoretical Physics
Pages:   338
Publication Date:   23 December 1996
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  A / AS level ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active
Basic Elements of Fuzzy Sets and Fuzzy Systems. A General Setting for Multistage Control Under Fuzziness. Control Processes with a Fixed and Specified TerminationTime. Control Processes with an Implicitly Specified TerminationTime. Control Processes with a Fuzzy Termination Time. Control Processes with an Infinite Termination Time. Examples of Applications. Concluding Remarks. Bibliography. Index.

Janusz Kacprzyk is a Polish engineer and mathematician, notable for his multiple contributions to the field of computational and artificial intelligence tools like fuzzy sets, mathematical optimization.

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